Xiaobo Wu

794 total citations
41 papers, 536 citations indexed

About

Xiaobo Wu is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaobo Wu has authored 41 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Insect Science, 33 papers in Genetics and 32 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaobo Wu's work include Insect and Pesticide Research (38 papers), Insect and Arachnid Ecology and Behavior (33 papers) and Plant and animal studies (32 papers). Xiaobo Wu is often cited by papers focused on Insect and Pesticide Research (38 papers), Insect and Arachnid Ecology and Behavior (33 papers) and Plant and animal studies (32 papers). Xiaobo Wu collaborates with scholars based in China, Czechia and Australia. Xiaobo Wu's co-authors include Zhijiang Zeng, Andrew B. Barron, Zilong Wang, Théotime Colin, William G. Meikle, Weiyu Yan, Xu Jiang He, Ruonan Zhang, Bo Zhang and Zhiyong Liu and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Xiaobo Wu

39 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaobo Wu China 11 481 392 369 55 28 41 536
Linsheng Yu China 14 508 1.1× 367 0.9× 301 0.8× 89 1.6× 61 2.2× 39 603
Mercédès Charreton France 10 562 1.2× 408 1.0× 378 1.0× 103 1.9× 78 2.8× 15 614
Xuepei Cui China 8 278 0.6× 170 0.4× 183 0.5× 34 0.6× 47 1.7× 12 323
Lucy Snyder United States 11 736 1.5× 630 1.6× 584 1.6× 36 0.7× 20 0.7× 21 797
Marion Zaworra Germany 7 480 1.0× 326 0.8× 263 0.7× 72 1.3× 85 3.0× 8 516
Weyder Cristiano Santana Brazil 12 384 0.8× 336 0.9× 326 0.9× 53 1.0× 32 1.1× 28 475
S. Cluzeau France 6 859 1.8× 716 1.8× 642 1.7× 95 1.7× 36 1.3× 6 899
Olivier Samson-Robert Canada 6 599 1.2× 478 1.2× 378 1.0× 95 1.7× 25 0.9× 7 637
Nicolás Szawarski Argentina 14 382 0.8× 281 0.7× 212 0.6× 87 1.6× 10 0.4× 23 427
Ian Laycock United Kingdom 5 468 1.0× 412 1.1× 353 1.0× 53 1.0× 16 0.6× 6 481

Countries citing papers authored by Xiaobo Wu

Since Specialization
Citations

This map shows the geographic impact of Xiaobo Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaobo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Wu more than expected).

Fields of papers citing papers by Xiaobo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaobo Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaobo Wu. The network helps show where Xiaobo Wu may publish in the future.

Co-authorship network of co-authors of Xiaobo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Wu. A scholar is included among the top collaborators of Xiaobo Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaobo Wu. Xiaobo Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Xiaoqian, Qingxin Yao, Xiaobo Wu, et al.. (2025). In situ construction of intracellular supramolecular assemblies as an alternative strategy for protein degradation. Nature Communications. 16(1). 5974–5974.
2.
Zhang, Yonghong, et al.. (2025). Larval antibiotic exposure causes persistent impacts on honeybees across life stages via metabolic succession. Journal of Hazardous Materials. 497. 139628–139628.
3.
Zhang, Yonghong, et al.. (2025). The interaction and response of gut microbes to exposure to chiral ethiprole in honeybees (Apis mellifera). Journal of Hazardous Materials. 486. 137112–137112. 3 indexed citations
4.
Liu, Jianhui, et al.. (2024). Flumethrin exposure perturbs gut microbiota structure and intestinal metabolism in honeybees (Apis mellifera). Journal of Hazardous Materials. 480. 135886–135886. 4 indexed citations
5.
Liu, Jianhui, et al.. (2024). Synergistic resistance of honeybee (Apis mellifera) and their gut microorganisms to fluvalinate stress. Pesticide Biochemistry and Physiology. 201. 105865–105865. 7 indexed citations
6.
Liu, Chen, et al.. (2024). Early larval exposure to flumethrin induces long-term impacts on survival and memory behaviors of adult worker bees Apis mellifera. Pesticide Biochemistry and Physiology. 201. 105909–105909. 6 indexed citations
7.
He, Xu Jiang, et al.. (2023). Honey bee maternal effects improve worker performance and reproductive ability in offspring. Frontiers in Cell and Developmental Biology. 11. 1156923–1156923. 2 indexed citations
8.
Wu, Xiaobo, et al.. (2023). Metabolic profiling of Apis mellifera larvae treated with sublethal acetamiprid doses. Ecotoxicology and Environmental Safety. 254. 114716–114716. 9 indexed citations
9.
Hu, Yueyang, et al.. (2023). The difference in composition and nutritional potency of honey extracted by centrifugation and pressed processes. Food Quality and Safety. 7. 4 indexed citations
10.
He, Xu Jiang, et al.. (2022). High-Quality Queens Produce High-Quality Offspring Queens. Insects. 13(5). 486–486. 8 indexed citations
11.
Liu, Chen, et al.. (2022). The negative effect of flumethrin stress on honey bee (Apis mellifera) worker from larvae to adults. Pesticide Biochemistry and Physiology. 188. 105289–105289. 10 indexed citations
12.
Wu, Xiaobo, et al.. (2022). The adverse impact on lifespan, immunity, and forage behavior of worker bees (Apis mellifera Linnaeus 1758) after exposure to flumethrin. The Science of The Total Environment. 858(Pt 3). 160146–160146. 20 indexed citations
13.
Wu, Xiaobo, et al.. (2021). Sublethal fluvalinate negatively affect the development and flight capacity of honeybee (Apis mellifera L.) workers. Environmental Research. 203. 111836–111836. 9 indexed citations
14.
Huang, Qiang, et al.. (2021). Honey bee Apis mellifera larvae gut microbial and immune, detoxication responses towards flumethrin stress. Environmental Pollution. 290. 118107–118107. 35 indexed citations
15.
Zhang, Ruonan, et al.. (2020). Exposure to acetamiprid influences the development and survival ability of worker bees (Apis mellifera L.) from larvae to adults. Environmental Pollution. 266(Pt 2). 115345–115345. 53 indexed citations
16.
Wu, Xiaobo, et al.. (2018). Effects of Queen Cell Size and Caging Days of Mother Queen on Rearing Young Honey Bee Queens Apis mellifera L.. Journal of Apicultural Science. 62(2). 215–222. 10 indexed citations
17.
Duan, Yun, Zhongjun Gong, Renhai Wu, et al.. (2017). Transcriptome analysis of molecular mechanisms responsible for light-stress response in Mythimna separata (Walker). Scientific Reports. 7(1). 45188–45188. 20 indexed citations
18.
19.
Wang, Huan, et al.. (2013). Nucleotide diversity based on csd gene of the black giant honey bee, Apis laboriosa (Hymenoptera: Apidae). European Journal of Entomology. 110(2). 215–220. 4 indexed citations
20.
Wang, Zilong, Zhiyong Liu, Xiaobo Wu, Weiyu Yan, & Zhijiang Zeng. (2011). Polymorphism analysis of csd gene in six Apis mellifera subspecies. Molecular Biology Reports. 39(3). 3067–3071. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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